Work

Developing machine learning models with multisource inputs for improved land surface soil moisture in China

Year: 2021

Type: article

Source: Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2021.106623

Authors: Lei Wang, Shibo Fang, Zhifang Pei, Dong Wu, Yongchao Zhu, Wen Zhuo

Institutions: China Meteorological Administration, Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Nanyang Institute of Technology, Anhui Agricultural University

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G3509068390, G4451492550, G7165623449

OpenAlex ID: W4200334776

FWCI: 1.596

Cites: 30

Cited by: 33

Related to: 10